gemseo-mlearning
Overview
gemseo-mlearning is a plugin of the library GEMSEO, dedicated to machine learning.
This package adds new regression models and optimization algorithms based on SMT.
A package for active learning is also available, deeply based on the core GEMSEO objects for optimization, as well as a SurrogateBasedOptimization library built on its top. An effort is being made to improve both content and performance in future versions.
Installation
Install the latest version with pip install gemseo-mlearning.
See pip for more information.
Bugs and questions
Please use the gitlab issue tracker to submit bugs or questions.
Contributing
See the contributing section of GEMSEO.
Contributors
- Antoine Dechaume
- Benoît Pauwels
- Clément Laboulfie
- Matthias De Lozzo
Metadata
Release files for gemseo-mlearning 3.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gemseo_mlearning-3.1.0.tar.gz | 1.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gemseo_mlearning-3.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / gemseo_mlearning-3.1.0.tar.gz
| Download URL | gemseo_mlearning-3.1.0.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.2
|
Release files / gemseo_mlearning-3.1.0-py3-none-any.whl
| Download URL | gemseo_mlearning-3.1.0-py3-none-any.whl |
|---|---|
| Size | 111.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.9.2
|
